prikaz prve stranice dokumenta Analiza sustava za raspoznavanje izraza lica
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master's thesis
Analiza sustava za raspoznavanje izraza lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:233324
Eljuga, Marija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Eljuga, M. (2015). Analiza sustava za raspoznavanje izraza lica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:233324

Eljuga, Marija. "Analiza sustava za raspoznavanje izraza lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:233324

Eljuga, Marija. "Analiza sustava za raspoznavanje izraza lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:233324

Eljuga, M. (2015). 'Analiza sustava za raspoznavanje izraza lica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:233324

Eljuga M. Analiza sustava za raspoznavanje izraza lica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 July 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:233324

M. Eljuga, "Analiza sustava za raspoznavanje izraza lica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:233324

Metadata
TitleAnaliza sustava za raspoznavanje izraza lica
Title (english)Analysis of a facial expressions system
AuthorMarija Eljuga
MentorDamir Seršić (mentor)
Committee memberDamir Seršić (predsjednik povjerenstva)
Committee memberDavor Petrinović (član povjerenstva)
Committee memberAna Sović Kržić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Prepoznavanje emocionalnog stanja čovjeka igra značajnu ulogu u razvoju inteligentne interakcije između čovjeka i računala. Ovaj rad bavi se implementacijom sustava za raspoznavanje 6 osnovnih izraza lica. Sustav se sastoji od dva podsustava: detekcije lica i koordinata 15 orijentirnih točaka na njemu, a potom primjene metoda strojnog učenja za treniranje i testiranje klasifikatora izraza lica. Korištene su različite varijante vektora značajki u svrhu analize rada sustava i poboljšavanja rezultata. Prikazani su dobiveni rezultati za sve korištene postupke i napravljena njihova usporedba. Na kraju rada dani su prijedlozi za unaprijeđenje točnosti sustava.
Abstract (english)
Emotional state recognition plays an important role in development of intelligent human-computer interaction. This paper focuses on implementation of a system for classification of 6 basic human facial expressions. The system is composed of two subsystems: face detection and detection of 15 landmark facial points followed by application of machine learning methods for training and testing of facial expression classifier. Different versions of feature vectors were used in oder to analyse the system funcionality and enhance results. Obtained results were presented and comparison was made for each of the procedures that were used. To conclude, suggestions for improvement of the system accuracy were given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:233324
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 08:40:11